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12/13/2022
A Statistical Model for Predicting Generalization in Few-Shot Classification
The estimation of the generalization error of classifiers often relies o...
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05/27/2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Embedding Artificial Intelligence onto low-power devices is a challengin...
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03/24/2021
DNN Quantization with Attention
Low-bit quantization of network weights and activations can drastically ...
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01/11/2021
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
Designing deep learning-based solutions is becoming a race for training ...
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12/02/2020
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems
Learning deep representations to solve complex machine learning tasks ha...
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07/20/2020
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget
Typical deep convolutional architectures present an increasing number of...
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02/08/2020
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization
Neural networks have demonstrably achieved state-of-the art accuracy usi...
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11/23/2019
Training Modern Deep Neural Networks for Memory-Fault Robustness
Because deep neural networks (DNNs) rely on a large number of parameters...
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11/18/2019
Efficient Hardware Implementation of Incremental Learning and Inference on Chip
In this paper, we tackle the problem of incrementally learning a classif...
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11/08/2019
Deep geometric knowledge distillation with graphs
In most cases deep learning architectures are trained disregarding the a...
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05/29/2019
Attention Based Pruning for Shift Networks
In many application domains such as computer vision, Convolutional Layer...
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05/01/2019
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
We introduce a novel loss function for training deep learning architectu...
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12/29/2018
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are state-of-the-art in numerous co...
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10/04/2018
